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Hier finden Sie wissenschaftliche Publikationen aus den FraunhoferInstituten. Analytical performance assessment of ESPRITtype algorithms for coexisting circular and strictly noncircular signals
 Institute of Electrical and Electronics Engineers IEEE; IEEE Signal Processing Society: IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016. Proceedings : March 2025, 2016, Shanghai International Convention Center, Shanghai, China Piscataway, NJ: IEEE, 2016 ISBN: 9781479999880 (electronic) ISBN: 9781479999873 (USB) ISBN: 9781479999897 (print) S.29312935 
 International Conference on Acoustics, Speech and Signal Processing (ICASSP) <2016, Shanghai> 

 Englisch 
 Konferenzbeitrag 
 Fraunhofer IIS () 
 Richtungsschätzung (DoA) 
Abstract
Estimating the directions of arrival (DOA) of coexisting circular and strictly secondorder (SO) noncircular (NC) signals has recently emerged as an active field of research. In previous work, we have proposed two ESPRITtype algorithms, i.e., CNC Standard ESPRIT and CNC Unitary ESPRIT, for this scenario that improve the estimation accuracy of the conventional schemes and increase the number of resolvable signals. In this paper, we present a firstorder performance assessment of these two ESPRITtype algorithms. Specifically, we derive closedform mean square error (MSE) expressions that are asymptotic in the effective signaltonoise ratio (SNR), i.e., the approximations become exact for either high SNRs or a large sample size. Apart from a zero mean and finite SO moments, no further assumptions on the noise statistics are required. We show that both algorithms perform identical in the high effective SNR regime.